Senior Analyst, Internal Audit - Data Scientist

Role Overview: As a Senior Analyst, Internal Audit - Data Scientist at Synchrony, you will be a key member of the Internal Audit Innovation team, reporting to the VP, Internal Audit - Innovation and Advanced Analytics leader. Your role will involve performing data science and data engineering development within the Internal Audit department. Your primary responsibility will be to create advanced analytics solutions that enhance decision-making processes and provide robust data analytics support to audit teams. You will play a crucial role in creating innovative solutions to improve audit efficiency, automate processes, and generate actionable insights. Collaboration with audit professionals and stakeholders will be essential to identify data-driven opportunities and drive continuous improvement in audit practices. This position offers the flexibility of working remotely with occasional in-person engagement activities. Key Responsibilities: - Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Document analytic results and findings into audit workpapers. - Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with Internal Audit teams and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead projects from ideation to presentation of results and recommendations. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Data Science, or related field with a minimum of 3 years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5 years of relevant experience is required. - Knowledge of data warehouse technical architecture, ETL, and analytic tools. - Proficiency in coding with Python and experience with visualization software like Tableau or Power BI. - Familiarity with segmentation techniques, model development techniques, and data manipulation from multiple sources. - Strong communication, relationship building, collaboration, and project management skills. Additional Company Details: Synchrony has been recognized for its commitment to diversity, employee well-being, and career advancement opportunities. The company offers flexibility and choice to all employees, along with best-in-class benefits and programs for work-life integration. Synchrony values diversity, with a focus on advancing diverse talent into leadership roles. Role Overview: As a Senior Analyst, Internal Audit - Data Scientist at Synchrony, you will be a key member of the Internal Audit Innovation team, reporting to the VP, Internal Audit - Innovation and Advanced Analytics leader. Your role will involve performing data science and data engineering development within the Internal Audit department. Your primary responsibility will be to create advanced analytics solutions that enhance decision-making processes and provide robust data analytics support to audit teams. You will play a crucial role in creating innovative solutions to improve audit efficiency, automate processes, and generate actionable insights. Collaboration with audit professionals and stakeholders will be essential to identify data-driven opportunities and drive continuous improvement in audit practices. This position offers the flexibility of working remotely with occasional in-person engagement activities. Key Responsibilities: - Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Document analytic results and findings into audit workpapers. - Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with Internal Audit teams and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead projects from ideation to presentation of results and recommendations. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Data Science, or related field with a minimum of 3 years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5 years of relevant experience is required. - Knowledge of data warehouse technical architecture, ETL, and analytic tools. - Proficiency in coding with Python and experience with visualization software like Tableau or Power BI. - Familiarity with se